Keep LLMs from losing memory by providing persistent runtime and memory layer

Keep LLMs from losing memory by providing persistent runtime and memory layer targets a $6.0B = 200,000 developer/product teams × $30K ACV (enterprise and mid-market teams needing memory/runtime services) total addressable market with medium saturation and a year-over-year growth rate of 30% YoY (source: industry analyst synthesis on AI infrastructure & LLM adoption trends).

Key trends driving demand: Trend — LLMs are moving from research to production, increasing demand for infra that handles state, privacy, and cost control.; Trend — Developers standardize on agent frameworks and retrieval-augmented patterns, creating reusable integration points for a runtime product.; Trend — Enterprises require auditability, retention policies, and PII controls as LLM use expands into regulated workflows, favoring managed solutions.; Trend — Advances in embeddings and cheaper inference reduce marginal costs of retrieval, making memory layers practical for more applications..